The risk of severe COVID-19 disease is known to be higher in older individuals and those with underlying health conditions. Understanding the number of individuals at increased risk of severe COVID-19 illness, and how this varies between countries is needed to inform the design of possible strategies to shield those at highest risk. We evaluated the global prevalence of underlying conditions associated with severe COVID-19 disease.
Multiple members of CMMID are working on the ongoing Covid-19 (previously referred to as novel coronavirus or nCov) outbreak caused by the SARS-CoV-2 virus. This page shows an overview of our work. We regularly update this page with new and updated work.
Our group has made multiple interactive applications where some of our work can be explored further.
We also translated some of our posts in Chinese: 中文版
The list below shows all our work on this topic. To only show studies for a specific topic, select from the adjacent listlist above.
Using a corrected case fatality ratio, we calculate estimates of the level of under-reporting for any country with greater than ten deaths
We analyse publicly available data on self-reported COVID-19 symptoms and deaths in England
Combining novel setting-specific social contact data from over 40,000 individuals in the UK with a mathematical model of COVID transmission, we compare the potential effects of isolation, contact tracing and physical distancing measures on epidemic control.
Simulated isolation, tracing and quarantine control strategies for SARS-CoV-2 in a real-world social network generated from high resolution GPS data.
Interactive dashboard of Facebook colocation data
We evaluated hypotheses for the age-distribution of COVID-19 cases reported.
We estimate timing of hitting particular case numbers by country in Africa.
We examined human movement on multiple geographic scales to provide a complete picture of the overall dynamics while drawing links to their public health implications.
We used critical care admissions in the United Kingdom to evaluate the number of cases and rate of spread for COVID-19 prior to the lockdown on 23 March 2020
We compare the relative importance of COVID-19-related reductions in social contacts and health service delivery on TB burden
We estimated the contribution of asymptomatic individuals in spreading COVID-19.
We undertook a systematic review to look at the duration of hospital and ICU stay for patients with COVID-19
We simulated potential response strategies to assess their effectiveness in three African countries: Niger, Nigeria, and Mauritius.
To compare the health benefits of sustaining routine childhood immunisation in Africa against the risk of acquiring SARS-CoV-2 infections through visiting routine vaccination service delivery points.
Systematic review of available literature and media reports to find clusters and extract settings type information.
Projected epidemics in LMIC with and without interventions
We evaluated the potential benefits of other respiratory infectious disease vaccines in the context of the COVID-19 pandemic.
We evaluated the effectiveness of the cordon sanitaire in Wuhan to delay or prevent outbreaks of COVID-19 in other major cities in mainland China.
To determine if interventions aimed at air travellers can delay establishment of a SARS-CoV-2 outbreak in a previously unaffected country with no shared border with China.
We present the first results of an ongoing survey (CoMix) to track social contact behaviour during the Covid-19 pandemic, and compare social mixing to patterns found in a previous survey.
We evaluated the overdispersion in the number of secondary transmissions of COVID-19
To identify changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting.
To identify changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak in Italy whilst accounting for potential biases due to delays in case reporting.
We use a stochastic age-structured transmission model to explore a range of COVID-19 intervention scenarios in the UK, including the introduction of school closures, social distancing, shielding of elderly groups, self-isolation of symptomatic cases, and extreme "lockdown"-type restrictions.
We estimate critical care bed demand for COVID-19 cases in England for the next two weeks. Results suggest that current capacity might be reached or exceeded by the end of March 2020.
We discussed the current evidence on the role of climate on COVID-19 transmission.
Adjusting for delay from confirmation-to-death, we estimated case and infection fatality ratios (CFR, IFR) for COVID-19 on the Diamond Princess ship
To assess the impact of a range of control measures that reduce social mixing on data from the COVID-19 outbreak in Wuhan, China.
We estimate the proportion of observed cases that may have been caused by during the pre-symptomatic period of the corresponding primary cases.
We infer the number of COVID-19 cases based on recently reported deaths. Results suggest that by the time a single COVID-19 death is reported, hundreds to thousands of cases may already be present in the population.
To assess the viability of isolation and contact tracing to control transmission from imported cases of 2019-nCoV.
To understand how human-to-human transmission varied in Wuhan during the early stages of the 2019-2020 COVID-19 outbreak.
We evaluated effectiveness of thermal passenger screening for 2019-nCoV infection at airport exit and entry to inform public health decision-making.
The transmissibility of novel Coronavirus in the early stages of the 2019-20 outbreak in Wuhan: Exploring initial point-source exposure sizes and durations using scenario analysis
To identify changes in the reproduction number during the course of the outbreak. This analysis will be updated with new data as the epidemic progresses.